Triple
T6743529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gruissan |
E154148
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | Gruissan village |
E154148
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Gruissan village | Statement: [Gruissan, hasFeature, Gruissan village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gruissan village Context triple: [Gruissan, hasFeature, Gruissan village]
-
A.
Gruissan
chosen
Gruissan is a coastal commune in southern France known for its Mediterranean beaches, salt marshes, and traditional stilted chalets.
-
B.
Gressoney-La-Trinité
Gressoney-La-Trinité is a high-altitude Alpine village and ski resort in Italy’s Aosta Valley, known for mountaineering access to Monte Rosa and its traditional Walser culture.
-
C.
Olliergues
Olliergues is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
-
D.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
E.
Olbreuse
Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1b3b1448190a94b4b64f01af14a |
completed | March 27, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b11b828819084d5a21dde5f1f5b |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:10 p.m.